AI/ML Engineer

The role

What we expect

• Strong, current command of modern generative methods at the applied level: you know what today's models are actually good at, where they break, and how to build reliably on top of them.
• A track record of shipping LLM or generative AI applications that real users used, in production, not prototypes. We value this far above a publication record.
• Real software engineering depth. You write code others can maintain, and you own things in production rather than handing them off.
• Hands-on experience writing and maintaining benchmarks and evaluation frameworks, ideally across more than one modality.
• Practical fine-tuning and model adaptation experience, and the judgment to know when not to reach for it.
• Sound judgment on inference trade-offs under tight compute, latency, and cost constraints, including local or on-device deployment.
• The ability to work from broadly defined goals, set your own objectives, and drive work forward without waiting to be handed a spec.
• High EQ and credibility with makers. You can sit inside a protective, high-craft team and earn their trust fast.
• A generous mentor to less experienced engineers, with high ownership, comfort taking risks and learning from failure, and the humility to do excellent work with kindness.

What we offer

• Luring you in with glitter, glamour, and gems isn't what we're about. We want you to enjoy your time here fully, so we structure our compensation and benefits with that in mind. It starts with perceiving you as a human being, not a resource.